1 citations · 1 across the 8 of their papers we have counts for
8 papers
Semantic Evidence Regulation via Relational Bias for Zero-Shot Object Navigation
Weitao An, Chenghao Xu, Xu Yang +1
Object navigation requires an embodied agent to locate a target object in an unknown environment through visual observations. Existing zero-shot methods typically leverage open-voc…
Hierarchical Dual-Subspace Decoupling for Continual Learning in Vision-Language Models
Mengxin Qin, Xiang Zhang, Kun Wei +2
Class-incremental learning aims to continuously acquire new knowledge while preserving previously learned information, thereby mitigating catastrophic forgetting. Existing methods…
DIMoE-Adapters: Dynamic Expert Evolution for Continual Learning in Vision-Language Models
Mengxin Qin, Xiang Zhang, Xi Wang +3
Continual learning enables vision-language models to accumulate knowledge and adapt to evolving tasks without retraining from scratch. However, in multi-domain task-incremental lea…
Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning
Xi Wang, Xu Yang, Donghao Sun +1
Long-tail class incremental learning (LT CIL) remains highly challenging because the scarcity of samples in tail classes not only hampers their learning but also exacerbates catast…
A Bridge from Audio to Video: Phoneme-Viseme Alignment Allows Every Face to Speak Multiple Languages
Zibo Su, Kun Wei, Jiahua Li +3
Speech-driven talking face synthesis (TFS) focuses on generating lifelike facial animations from speech input. Current TFS models perform well in English but struggle with non-Engl…
Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
Xiang Zhang, Kun Wei, Xu Yang +3
As Large Language Models (LLMs) become increasingly prevalent, their security vulnerabilities have already drawn attention. Machine unlearning is introduced to seek to mitigate the…
Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents
Jiahua Li, Zhanhe Zhang, Chenghao Xu +4
Long videos, characterized by temporal complexity and sparse task-relevant information, pose significant reasoning challenges for AI systems. Although existing Large Language Model…
Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons
Zhe Xu, Kun Wei, Xu Yang +1
Human dance generation (HDG) aims to synthesize realistic videos from images and sequences of driving poses. Despite great success, existing methods are limited to generating video…